Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning


Estimating the density of the ‘urban fabric’ land cover classes is of major importance for various urban and regional planning activities. However, the generation of such maps is still challenging requiring significant time and labor costs for the per city-block analysis of very high resolution remote sensing data. In this paper, we propose a supervised… (More)

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